Senior Software Engineer (Full Stack)

Who We Are; What We Do; Where We’re Going

Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

If you think you would be the right person to join our team working towards this goal, we would love to hear from you! 

Role Overview
We are looking for a Senior Software Engineer (Full Stack!) to join the our dynamic team and help build Magnet One - our platform for digital forensics workflows. As a part of this  team you will contribute to a collaborative, customer-obsessed team where you'll work across the stack, ship with urgency, and help shape a platform used by forensic investigators worldwide.  

What You’ll Do

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  Design and implement full-stack features across M1 SaaS portal from React-based UI components to C# backend services;  

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  Contribute to the intuitive workflows including shared navigation, unified theming, and consistent user workflows across products;  

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  Build and improve case management capabilities on M1 SaaS portal;



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  Write clean, testable code while maintaining a high standard for quality;

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  Collaborate with Product, UX, and fellow engineers to break down work, iterate quickly, and deliver customer-focused solutions;  

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  Work within a cloud-native SaaS environment — deploying, monitoring, and scaling services on shared SaaS infrastructure;  

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  Participate in code reviews, technical discussions, and cross-team coordination to drive innovation and maintainable architecture;  

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  Adapt to evolving business and customer needs in a fast-moving, micro-platoon delivery model.  

What We’re Looking For

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  6+ years of relevant professional software engineering experience;  



• You have post-secondary education in software engineering, computer or electrical engineering, computer science, math, or related field;

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  Strong full-stack development skills with experience on both front-end and back-end systems;  

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  Proficiency with React and modern front-end web development ( component design, state management, responsive UI);  

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  Experience with C# and building server-side application code (APIs, services, data access);  

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  Solid problem-solving skills and a curious, resourceful mindset;

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  Experience writing and  maintaining automated tests at various levels of abstraction;  

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  Ability to work cross-functionally, communicate effectively with technical and non-technical stakeholders, and collaborate in a team environment;  

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  Comfortable navigating ambiguity and adapting in a fast-changing environment;  

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  You like working in a collaborative environment with smart and passionate people.  

Nice to Have Skills

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  Familiarity with AI technologies and workflows (e.g., natural language search, agentic workflows, using AI as part of your development process);  

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  Experience with cloud-native systems, distributed services, and SaaS platform development;  

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  Familiarity with AWS, Kubernetes, or container-based deployment pipelines;  

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  Experience with digital forensics, legal tech, or enterprise SaaS products.

Compensation & Benefits 

The Compensation range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).

$115,000 - $160,000 (CDN) a year

Salary range (min - max)

Position Type: Current Vacancy

Magnet is proud to offer benefits such as:

- Generous time off policies 

- Competitive compensation 

- Volunteer opportunities

- Reward and recognition programs

- Employee committees & resource groups

- Healthcare and retirement benefits 

Indicators of Success

We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have “been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us. 

How We Work

At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals.

We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best!

The Most Important Thing

We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences:

CARE – We care about each other and our mission to make a difference in the world.

OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect.

DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect.

EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work.

Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways.

Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact [email protected]   should you require any accommodations.

All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.

US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found  here . 

Magnet does not use artificial intelligence (defined as a machine-based system that infers from input to generate outputs such as predictions, content, recommendations, or decisions) for screening, assessing, or selecting applicants. Should this practice change, we will update this disclosure accordingly.